Imagine you're using DBSCAN for spatial data clustering, but the clusters are not forming as expected. What steps would you take to analyze and fix the situation?
- All of the above
- Analyze feature scaling; Adjust Epsilon and MinPts
- Apply a linear transformation to the data
- Increase the dimensionality of the data
Clustering spatial data requires a careful analysis of the scale of the features, as well as appropriate tuning of Epsilon and MinPts. Feature scaling ensures that distances are comparable across dimensions. Adjusting Epsilon and MinPts tailors the algorithm to the specific density and size characteristics of the clusters in the spatial data.
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